Dynamic Face Registration Based on 3D Camera

Abstract

The invention belongs to the field of human face registration, especially the dynamic face registration method based on 3D camera, Aiming at the problem that the existing face registration can not accurately find the invariant features of human face, which leads to the low registration accuracy and quality, the following solutions are proposed: S1, registering the personal information of the reference person, establishing the reference three-dimensional face model of the reference person, and establishing a spatial coordinate system for the reference three-dimensional face model at the same time; S2, connecting the nose tip of the reference three-dimensional face with the forehead to obtain a reference line 1, and connecting the two eyes of the reference three-dimensional face to obtain areference line 2. The matching point 1 and the matching point 2 are respectively coincided with the reference point 1 and the reference point 2 to carry out the preliminary positioning of the three-dimensional face to be registered, Rotating three-dimensional face to be registered with the line between the coincident reference point one and the reference point two as the axis can reduce the registration error, make the registration accuracy higher, reduce the registration step, and improve the registration efficiency.

Description

technical field [0001] The invention relates to the technical field of face registration, in particular to a dynamic face registration method based on a 3D camera. Background technique [0002] The increase in human security concerns has made face recognition technology a focus of researchers' attention. Feature extraction technology plays a key role in face recognition technology, because the essence of 3D face recognition technology is to abstract the face with features and then identify based on features. At present, common feature extraction methods are based on two-dimensional face photos and three-dimensional face data. 3D data is far more informative than 2D photos. In addition, 3D face data is not affected by illumination, posture, expression, etc. compared with 2D data, so more and more researchers turn to 3D face feature extraction. The essence of the registration method is to find face models and benchmarks. The corresponding relationship of the model can be di...

AI Technical Summary

Problems solved by technology

[0003] The 3D camera-based dynamic face registration method proposed by the present invention solves the problem that the existing face registration cannot accurately find the invariant features on the face, resulting in low registration accuracy and quality